Additive separability plays an important role in the literature on inequality measures [1]}, [2]}, [3]}, as well as in the study of welfare functions because additive separability follows from a standard axiomatization [4]}. However, this leads to a restricted class of functions, so that varying \(\alpha _1, \alpha _2\)  and \(\lambda \)  in (REF ) cannot generate all Lorenz-efficient solutions in general. The GGF approach provides a more general device to navigate the set of Lorenz-efficient solutions, with interpretable parameters since they are weights assigned to points of the generalized Lorenz curve.
